Advantages of independent measures design include less time/money involved than a within subjects design and increased external validity because more participants are used. A disadvantage is that
individual differences in participants can sometimes lead to differences in the groups’ results
.
What is a strength of independent groups design?
A strength of the independent measures design is that because participants only take part in one condition participants are less likely to become border or practiced and therefore the
experiment is more likely to measure natural real-life behaviour
.
What are the limitations of independent measures design?
- researcher cannot control the effects of participant variables (i.e. different characteristics or abilities of each participant). This would cause a confounding variable.
- needs more design than the Repeated Measures Design in order to end up with the same amount of data.
What is an advantage of using independent groups design?
| Independent groups design | Advantages No order effects Lower risk of demand characteristics Same tests/materials can be used Disadvantages Participant variables More participants required than with repeated measures design | Evaluation |
What is an independent samples design?
An independent samples design is
a true experiment characterized by random assignment of participants to conditions and manipulation of the independent variable
. In conjunction with the use of control groups, this design permits cause–effect conclusions and results in fewer alternative interpretations of the data.
What is a limitation of independent measures?
Advantages of independent measures design include less time/money involved than a within subjects design and increased external validity because more participants are used. A disadvantage is
that individual differences in participants can sometimes lead to differences in the groups’ results
.
What advantages does a repeated measures Anova have over an independent measures design?
The Benefits of Repeated Measures Designs
Further sample size reductions
are possible because each subject is involved with multiple treatments. For example, if an independent groups design requires 20 subjects per experimental group, a repeated measures design may only require 20 total.
What are the 4 types of research design?
There are four main types of Quantitative research:
Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research
. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
What is an independent groups design in psychology?
Independent measures design, also known as between-groups, is
an experimental design where different participants are used in each condition of the independent variable
. This means that each condition of the experiment includes a different group of participants.
What is two independent group design?
A two-group design is
when a researcher divides his or her subjects into two groups and then compares the results
. The two groups usually consist of a control group, who does not get the treatment, and a treatment or experimental group, who does get the treatment.
What are the advantages of repeated measures design?
The primary strengths of the repeated measures design is that it
makes an experiment more efficient and helps keep the variability low
. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups.
What is the benefit of a matched pairs design?
Differences between the group means can no longer be explained by differences in age or gender of the participants. The primary advantage of the matched pairs design is
to use experimental control to reduce one or more sources of error variability
. One limitation of this design can be the availability of participants.
What is the independent variable in an experiment?
Answer: An independent variable is exactly what it sounds like. It is
a variable that stands alone and isn’t changed by the other variables you are trying to measure
. For example, someone’s age might be an independent variable.
How do you identify a quasi experimental design?
Like a true experiment, a quasi-experimental design aims to establish a cause-and-effect relationship between an independent and dependent variable. However, unlike a true experiment, a quasi-experiment does not rely on random assignment. Instead,
subjects are assigned to groups based on non-random criteria
.
When should you use an independent samples t test?
- Statistical differences between the means of two groups.
- Statistical differences between the means of two interventions.
- Statistical differences between the means of two change scores.
What is the key difference between an independent groups design and a repeated measures design?
What is the difference between independent measures design and repeated measures design? An independent measures design consists of using different participants for each condition of the experiment. A repeated measures design consists of
testing the same individuals on two or more conditions
.
